Studies on the “Ideological and Political Course” in Innovative International Chinese Education Based on Big Data, Online and Offline Combined Teaching Mode

DOI

10.2991/assehr.k.201030.039How to use a DOI?

Keywords

big data, international Chinese education, intelligent teaching, ideological and political course, measures

Abstract

Studies in the paper are made by regarding “concept+ real action+ dimension” as the inner logic and research methods, to elaborate problems in deepening concepts, innovating routes and triple dimensions during ideological and political course in international Chinese education. International Chinese education does not only aim at teaching Chinese knowledge and skills, but also educating foreign learners. It’s an important link to integrate fine traditional Chinese cultures and events reflecting the wonderful life of people in the new era into ideological and political course in the international Chinese education, which can double the effect of education for foreign learners. Big data analysis and innovative routes are put forward for ideological and political course of international Chinese education in the paper, including innovative form, online platform construction, and the overall reform of offline teaching; three dimensions are proposed for ideological and political course under the background of “big data”, “pandemic” and “cross-culture”. The conclusion made in the paper is that, “Yixi, Sanxing and Sihua” should be realized in the ideological and political course of international Chinese education.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yingbo Li
PY  - 2020
DA  - 2020/11/02
TI  - Studies on the “Ideological and Political Course” in Innovative International Chinese Education Based on Big Data, Online and Offline Combined Teaching Mode
BT  - Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 188
EP  - 193
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.039
DO  - 10.2991/assehr.k.201030.039
ID  - Li2020
ER  -